Social Media Pandas Profiling Report

Dataset statistics

Number of variables	18
Number of observations	100000
Missing cells	219974
Missing cells (%)	12.2%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	73.9 MiB
Average record size in memory	774.6 B

Variable types

Categorical	4
Text	6
DateTime	1
Numeric	7

Alerts

`Engagement Rate` is highly overall correlated with `Likes` and 1 other fields	High correlation
`Likes` is highly overall correlated with `Engagement Rate`	High correlation
`Reach` is highly overall correlated with `Engagement Rate`	High correlation
`Campaign ID` has 79868 (79.9%) missing values	Missing
`Sentiment` has 50100 (50.1%) missing values	Missing
`Influencer ID` has 90006 (90.0%) missing values	Missing
`Post ID` has unique values	Unique
`Post Content` has unique values	Unique
`Post Timestamp` has unique values	Unique

Reproduction

Analysis started	2025-01-04 18:50:35.781998
Analysis finished	2025-01-04 18:50:51.754436
Duration	15.97 seconds
Software version	ydata-profiling vv4.12.1
Download configuration	config.json

Platform
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	6.2 MiB

Twitter	25160
LinkedIn	25126
Facebook	24879
Instagram	24835

Length

Max length	9
Median length	8
Mean length	7.99675
Min length	7

Characters and Unicode

Total characters	799675
Distinct characters	19
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	LinkedIn
2nd row	Instagram
3rd row	Instagram
4th row	Twitter
5th row	Facebook

Common Values

Value	Count	Frequency (%)
Twitter	25160	25.2%
LinkedIn	25126	25.1%
Facebook	24879	24.9%
Instagram	24835	24.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
twitter	25160	25.2%
linkedin	25126	25.1%
facebook	24879	24.9%
instagram	24835	24.8%

Most occurring characters

Value	Count	Frequency (%)
e	75165	9.4%
t	75155	9.4%
n	75087	9.4%
a	74549	9.3%
i	50286	6.3%
k	50005	6.3%
r	49995	6.3%
I	49961	6.2%
o	49758	6.2%
w	25160	3.1%
Other values (9)	224554	28.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	799675	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	75165	9.4%
t	75155	9.4%
n	75087	9.4%
a	74549	9.3%
i	50286	6.3%
k	50005	6.3%
r	49995	6.3%
I	49961	6.2%
o	49758	6.2%
w	25160	3.1%
Other values (9)	224554	28.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	799675	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	75165	9.4%
t	75155	9.4%
n	75087	9.4%
a	74549	9.3%
i	50286	6.3%
k	50005	6.3%
r	49995	6.3%
I	49961	6.2%
o	49758	6.2%
w	25160	3.1%
Other values (9)	224554	28.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	799675	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	75165	9.4%
t	75155	9.4%
n	75087	9.4%
a	74549	9.3%
i	50286	6.3%
k	50005	6.3%
r	49995	6.3%
I	49961	6.2%
o	49758	6.2%
w	25160	3.1%
Other values (9)	224554	28.1%

Post ID
Text

Unique

Distinct	100000
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	8.9 MiB

Length

Max length	36
Median length	36
Mean length	36
Min length	36

Characters and Unicode

Total characters	3600000
Distinct characters	17
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	100000 ?
Unique (%)	100.0%

Sample

1st row	d49dadb4-fc1e-4775-88ad-d60b75cf5123
2nd row	16ce29c5-2dc7-478f-9814-a86754f3ce8b
3rd row	6a6cc741-72f4-4111-95a0-c5ee04a175a8
4th row	0b5a3e70-c556-43cb-ad4f-a1d0003348bc
5th row	a7d3e958-e2fe-411e-a24a-b96e821fc050

Value	Count	Frequency (%)
21f68810-6169-49b4-b7a9-b4d7c394f432	1	< 0.1%
f8a3393a-a1da-470a-a58c-f58369e02336	1	< 0.1%
10c539ac-30a8-49bf-a2e7-63b7503d0d7c	1	< 0.1%
261f09f4-37dc-4c30-a946-632d8094aff4	1	< 0.1%
c8a141c6-3fdd-4e27-9499-0c39b8ad5fd6	1	< 0.1%
ad06285e-8e7a-42ab-9594-83593e0f8dba	1	< 0.1%
d6344d88-94e3-4222-8dff-dff20848b062	1	< 0.1%
8961a570-755e-44e6-a44b-674a8c20b765	1	< 0.1%
d9ba357e-46c5-4017-a462-53b58e70db9c	1	< 0.1%
93aa9f2a-dc11-4219-9be8-2b9c981685be	1	< 0.1%
Other values (99990)	99990	> 99.9%

Most occurring characters

Value	Count	Frequency (%)
-	400000	11.1%
4	287225	8.0%
a	212852	5.9%
8	212743	5.9%
b	212388	5.9%
9	212154	5.9%
3	188118	5.2%
c	188079	5.2%
7	187930	5.2%
1	187598	5.2%
Other values (7)	1310913	36.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3600000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
-	400000	11.1%
4	287225	8.0%
a	212852	5.9%
8	212743	5.9%
b	212388	5.9%
9	212154	5.9%
3	188118	5.2%
c	188079	5.2%
7	187930	5.2%
1	187598	5.2%
Other values (7)	1310913	36.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3600000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
-	400000	11.1%
4	287225	8.0%
a	212852	5.9%
8	212743	5.9%
b	212388	5.9%
9	212154	5.9%
3	188118	5.2%
c	188079	5.2%
7	187930	5.2%
1	187598	5.2%
Other values (7)	1310913	36.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3600000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
-	400000	11.1%
4	287225	8.0%
a	212852	5.9%
8	212743	5.9%
b	212388	5.9%
9	212154	5.9%
3	188118	5.2%
c	188079	5.2%
7	187930	5.2%
1	187598	5.2%
Other values (7)	1310913	36.4%

Post Type
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	5.9 MiB

Video	33384
Link	33338
Image	33278

Length

Max length	5
Median length	5
Mean length	4.66662
Min length	4

Characters and Unicode

Total characters	466662
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Video
2nd row	Video
3rd row	Video
4th row	Image
5th row	Link

Common Values

Value	Count	Frequency (%)
Video	33384	33.4%
Link	33338	33.3%
Image	33278	33.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
video	33384	33.4%
link	33338	33.3%
image	33278	33.3%

Most occurring characters

Value	Count	Frequency (%)
i	66722	14.3%
e	66662	14.3%
V	33384	7.2%
d	33384	7.2%
o	33384	7.2%
L	33338	7.1%
n	33338	7.1%
k	33338	7.1%
I	33278	7.1%
m	33278	7.1%
Other values (2)	66556	14.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	466662	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	66722	14.3%
e	66662	14.3%
V	33384	7.2%
d	33384	7.2%
o	33384	7.2%
L	33338	7.1%
n	33338	7.1%
k	33338	7.1%
I	33278	7.1%
m	33278	7.1%
Other values (2)	66556	14.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	466662	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	66722	14.3%
e	66662	14.3%
V	33384	7.2%
d	33384	7.2%
o	33384	7.2%
L	33338	7.1%
n	33338	7.1%
k	33338	7.1%
I	33278	7.1%
m	33278	7.1%
Other values (2)	66556	14.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	466662	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	66722	14.3%
e	66662	14.3%
V	33384	7.2%
d	33384	7.2%
o	33384	7.2%
L	33338	7.1%
n	33338	7.1%
k	33338	7.1%
I	33278	7.1%
m	33278	7.1%
Other values (2)	66556	14.3%

Post Content
Text

Unique

Distinct	100000
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	8.9 MiB

Length

Max length	75
Median length	58
Mean length	36.02079
Min length	9

Characters and Unicode

Total characters	3602079
Distinct characters	52
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	100000 ?
Unique (%)	100.0%

Sample

1st row	Want that according same wish.
2nd row	Increase fast partner south.
3rd row	Lawyer behavior born window couple sister.
4th row	Street great decade must.
5th row	At clear meeting with reason ground continue contain.

Value	Count	Frequency (%)
if	667	0.1%
serious	647	0.1%
reach	646	0.1%
sea	645	0.1%
green	640	0.1%
career	640	0.1%
draw	639	0.1%
capital	637	0.1%
pay	635	0.1%
amount	634	0.1%
Other values (961)	544436	98.8%

Most occurring characters

Value	Count	Frequency (%)
	450866	12.5%
e	403213	11.2%
t	236650	6.6%
r	232425	6.5%
a	227379	6.3%
o	213950	5.9%
i	208340	5.8%
n	196694	5.5%
s	160476	4.5%
l	148173	4.1%
Other values (42)	1123913	31.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3602079	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	450866	12.5%
e	403213	11.2%
t	236650	6.6%
r	232425	6.5%
a	227379	6.3%
o	213950	5.9%
i	208340	5.8%
n	196694	5.5%
s	160476	4.5%
l	148173	4.1%
Other values (42)	1123913	31.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3602079	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	450866	12.5%
e	403213	11.2%
t	236650	6.6%
r	232425	6.5%
a	227379	6.3%
o	213950	5.9%
i	208340	5.8%
n	196694	5.5%
s	160476	4.5%
l	148173	4.1%
Other values (42)	1123913	31.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3602079	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	450866	12.5%
e	403213	11.2%
t	236650	6.6%
r	232425	6.5%
a	227379	6.3%
o	213950	5.9%
i	208340	5.8%
n	196694	5.5%
s	160476	4.5%
l	148173	4.1%
Other values (42)	1123913	31.2%

Post Timestamp
Date

Unique

Distinct	100000
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	781.4 KiB

Minimum	2021-03-08 19:13:37.452507
Maximum	2024-03-08 11:33:25.534234
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

Likes
Real number (ℝ)

High correlation

Distinct	1001
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	499.39624

Minimum	0
Maximum	1000
Zeros	109
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	781.4 KiB

Quantile statistics

Minimum	0
5-th percentile	50
Q1	249
median	500
Q3	750
95-th percentile	951
Maximum	1000
Range	1000
Interquartile range (IQR)	501

Descriptive statistics

Standard deviation	289.09779
Coefficient of variation (CV)	0.57889461
Kurtosis	-1.2004555
Mean	499.39624
Median Absolute Deviation (MAD)	250
Skewness	0.0048045865
Sum	49939624
Variance	83577.533
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
574	137	0.1%
256	132	0.1%
546	127	0.1%
407	126	0.1%
129	124	0.1%
980	124	0.1%
708	124	0.1%
547	124	0.1%
807	123	0.1%
403	122	0.1%
Other values (991)	98737	98.7%

Value	Count	Frequency (%)
0	109	0.1%
1	101	0.1%
2	106	0.1%
3	102	0.1%
4	89	0.1%
5	94	0.1%
6	106	0.1%
7	76	0.1%
8	116	0.1%
9	95	0.1%

Value	Count	Frequency (%)
1000	106	0.1%
999	108	0.1%
998	107	0.1%
997	96	0.1%
996	113	0.1%
995	95	0.1%
994	104	0.1%
993	112	0.1%
992	92	0.1%
991	112	0.1%

Comments
Real number (ℝ)

Distinct	501
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	249.6992

Minimum	0
Maximum	500
Zeros	172
Zeros (%)	0.2%
Negative	0
Negative (%)	0.0%
Memory size	781.4 KiB

Quantile statistics

Minimum	0
5-th percentile	24
Q1	124
median	250
Q3	375
95-th percentile	475
Maximum	500
Range	500
Interquartile range (IQR)	251

Descriptive statistics

Standard deviation	144.6112
Coefficient of variation (CV)	0.57914162
Kurtosis	-1.2025845
Mean	249.6992
Median Absolute Deviation (MAD)	126
Skewness	-0.0026294217
Sum	24969920
Variance	20912.399
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
318	240	0.2%
401	235	0.2%
429	233	0.2%
430	233	0.2%
386	232	0.2%
60	231	0.2%
400	231	0.2%
18	229	0.2%
12	229	0.2%
258	228	0.2%
Other values (491)	97679	97.7%

Value	Count	Frequency (%)
0	172	0.2%
1	177	0.2%
2	223	0.2%
3	198	0.2%
4	215	0.2%
5	215	0.2%
6	176	0.2%
7	225	0.2%
8	196	0.2%
9	221	0.2%

Value	Count	Frequency (%)
500	190	0.2%
499	214	0.2%
498	166	0.2%
497	199	0.2%
496	180	0.2%
495	186	0.2%
494	178	0.2%
493	188	0.2%
492	189	0.2%
491	210	0.2%

Shares
Real number (ℝ)

Distinct	201
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	100.11851

Minimum	0
Maximum	200
Zeros	515
Zeros (%)	0.5%
Negative	0
Negative (%)	0.0%
Memory size	781.4 KiB

Quantile statistics

Minimum	0
5-th percentile	10
Q1	50
median	100
Q3	150
95-th percentile	190
Maximum	200
Range	200
Interquartile range (IQR)	100

Descriptive statistics

Standard deviation	57.924815
Coefficient of variation (CV)	0.57856249
Kurtosis	-1.1950335
Mean	100.11851
Median Absolute Deviation (MAD)	50
Skewness	-0.0013119681
Sum	10011851
Variance	3355.2841
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
94	549	0.5%
14	549	0.5%
138	545	0.5%
88	543	0.5%
176	542	0.5%
164	541	0.5%
58	541	0.5%
196	538	0.5%
177	537	0.5%
99	537	0.5%
Other values (191)	94578	94.6%

Value	Count	Frequency (%)
0	515	0.5%
1	492	0.5%
2	469	0.5%
3	495	0.5%
4	513	0.5%
5	442	0.4%
6	510	0.5%
7	487	0.5%
8	488	0.5%
9	506	0.5%

Value	Count	Frequency (%)
200	479	0.5%
199	484	0.5%
198	463	0.5%
197	496	0.5%
196	538	0.5%
195	525	0.5%
194	532	0.5%
193	505	0.5%
192	481	0.5%
191	444	0.4%

Impressions
Real number (ℝ)

Distinct	9001
Distinct (%)	9.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5487.6291

Minimum	1000
Maximum	10000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	781.4 KiB

Quantile statistics

Minimum	1000
5-th percentile	1446
Q1	3239
median	5477
Q3	7733
95-th percentile	9541
Maximum	10000
Range	9000
Interquartile range (IQR)	4494

Descriptive statistics

Standard deviation	2594.6742
Coefficient of variation (CV)	0.47282245
Kurtosis	-1.1947548
Mean	5487.6291
Median Absolute Deviation (MAD)	2247
Skewness	0.0044486304
Sum	5.4876291 × 10⁸
Variance	6732334.2
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
7152	25	< 0.1%
4136	25	< 0.1%
7811	24	< 0.1%
7139	24	< 0.1%
3559	24	< 0.1%
2457	24	< 0.1%
5168	24	< 0.1%
9673	24	< 0.1%
1428	23	< 0.1%
4450	23	< 0.1%
Other values (8991)	99760	99.8%

Value	Count	Frequency (%)
1000	12	< 0.1%
1001	10	< 0.1%
1002	6	< 0.1%
1003	9	< 0.1%
1004	10	< 0.1%
1005	18	< 0.1%
1006	15	< 0.1%
1007	9	< 0.1%
1008	10	< 0.1%
1009	11	< 0.1%

Value	Count	Frequency (%)
10000	8	< 0.1%
9999	13	< 0.1%
9998	8	< 0.1%
9997	8	< 0.1%
9996	7	< 0.1%
9995	10	< 0.1%
9994	11	< 0.1%
9993	9	< 0.1%
9992	11	< 0.1%
9991	9	< 0.1%

Reach
Real number (ℝ)

High correlation

Distinct	4501
Distinct (%)	4.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2751.52

Minimum	500
Maximum	5000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	781.4 KiB

Quantile statistics

Minimum	500
5-th percentile	728
Q1	1627
median	2754
Q3	3877.25
95-th percentile	4776
Maximum	5000
Range	4500
Interquartile range (IQR)	2250.25

Descriptive statistics

Standard deviation	1299.3597
Coefficient of variation (CV)	0.47223343
Kurtosis	-1.200683
Mean	2751.52
Median Absolute Deviation (MAD)	1125
Skewness	-0.00010224814
Sum	2.75152 × 10⁸
Variance	1688335.6
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4985	41	< 0.1%
3386	41	< 0.1%
4114	38	< 0.1%
2326	38	< 0.1%
4038	37	< 0.1%
1052	37	< 0.1%
1432	37	< 0.1%
2316	37	< 0.1%
1072	37	< 0.1%
4976	36	< 0.1%
Other values (4491)	99621	99.6%

Value	Count	Frequency (%)
500	18	< 0.1%
501	18	< 0.1%
502	17	< 0.1%
503	13	< 0.1%
504	22	< 0.1%
505	24	< 0.1%
506	20	< 0.1%
507	29	< 0.1%
508	28	< 0.1%
509	22	< 0.1%

Value	Count	Frequency (%)
5000	19	< 0.1%
4999	25	< 0.1%
4998	17	< 0.1%
4997	23	< 0.1%
4996	26	< 0.1%
4995	21	< 0.1%
4994	23	< 0.1%
4993	22	< 0.1%
4992	15	< 0.1%
4991	24	< 0.1%

Engagement Rate
Real number (ℝ)

High correlation

Distinct	15106
Distinct (%)	15.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	43.411362

Minimum	0.49
Maximum	312.55
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	781.4 KiB

Quantile statistics

Minimum	0.49
5-th percentile	9.95
Q1	20.03
median	30.77
Q3	52.3725
95-th percentile	124.061
Maximum	312.55
Range	312.06
Interquartile range (IQR)	32.3425

Descriptive statistics

Standard deviation	37.746432
Coefficient of variation (CV)	0.86950582
Kurtosis	6.3120022
Mean	43.411362
Median Absolute Deviation (MAD)	13.51
Skewness	2.2645663
Sum	4341136.2
Variance	1424.7931
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
24.32	41	< 0.1%
25.46	40	< 0.1%
16.02	40	< 0.1%
17.88	39	< 0.1%
28.33	39	< 0.1%
25.39	38	< 0.1%
16.08	38	< 0.1%
24.26	37	< 0.1%
16.67	37	< 0.1%
20.47	37	< 0.1%
Other values (15096)	99614	99.6%

Value	Count	Frequency (%)
0.49	1	< 0.1%
0.54	1	< 0.1%
0.72	1	< 0.1%
0.73	1	< 0.1%
0.85	1	< 0.1%
0.88	1	< 0.1%
0.94	1	< 0.1%
1.04	1	< 0.1%
1.11	1	< 0.1%
1.17	1	< 0.1%

Value	Count	Frequency (%)
312.55	1	< 0.1%
309.88	1	< 0.1%
309.47	1	< 0.1%
302.75	1	< 0.1%
302.5	1	< 0.1%
298.61	1	< 0.1%
298.4	1	< 0.1%
297.02	1	< 0.1%
296.99	1	< 0.1%
296.67	1	< 0.1%

Audience Age
Real number (ℝ)

Distinct	48
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	41.51474

Minimum	18
Maximum	65
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	781.4 KiB

Quantile statistics

Minimum	18
5-th percentile	20
Q1	30
median	42
Q3	54
95-th percentile	63
Maximum	65
Range	47
Interquartile range (IQR)	24

Descriptive statistics

Standard deviation	13.867187
Coefficient of variation (CV)	0.33403045
Kurtosis	-1.203959
Mean	41.51474
Median Absolute Deviation (MAD)	12
Skewness	-0.0037963226
Sum	4151474
Variance	192.29889
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=48)

Value	Count	Frequency (%)
18	2196	2.2%
33	2181	2.2%
38	2177	2.2%
45	2172	2.2%
58	2140	2.1%
55	2137	2.1%
50	2136	2.1%
21	2134	2.1%
60	2123	2.1%
30	2122	2.1%
Other values (38)	78482	78.5%

Value	Count	Frequency (%)
18	2196	2.2%
19	1999	2.0%
20	2047	2.0%
21	2134	2.1%
22	2105	2.1%
23	2117	2.1%
24	2040	2.0%
25	2076	2.1%
26	2056	2.1%
27	2085	2.1%

Value	Count	Frequency (%)
65	2062	2.1%
64	2095	2.1%
63	2060	2.1%
62	2095	2.1%
61	2059	2.1%
60	2123	2.1%
59	2083	2.1%
58	2140	2.1%
57	2092	2.1%
56	2114	2.1%

Audience Gender
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	5.9 MiB

Male	33476
Female	33385
Other	33139

Length

Max length	6
Median length	5
Mean length	4.99909
Min length	4

Characters and Unicode

Total characters	499909
Distinct characters	10
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Other
2nd row	Male
3rd row	Male
4th row	Other
5th row	Other

Common Values

Value	Count	Frequency (%)
Male	33476	33.5%
Female	33385	33.4%
Other	33139	33.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
male	33476	33.5%
female	33385	33.4%
other	33139	33.1%

Most occurring characters

Value	Count	Frequency (%)
e	133385	26.7%
a	66861	13.4%
l	66861	13.4%
M	33476	6.7%
F	33385	6.7%
m	33385	6.7%
O	33139	6.6%
t	33139	6.6%
h	33139	6.6%
r	33139	6.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	499909	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	133385	26.7%
a	66861	13.4%
l	66861	13.4%
M	33476	6.7%
F	33385	6.7%
m	33385	6.7%
O	33139	6.6%
t	33139	6.6%
h	33139	6.6%
r	33139	6.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	499909	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	133385	26.7%
a	66861	13.4%
l	66861	13.4%
M	33476	6.7%
F	33385	6.7%
m	33385	6.7%
O	33139	6.6%
t	33139	6.6%
h	33139	6.6%
r	33139	6.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	499909	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	133385	26.7%
a	66861	13.4%
l	66861	13.4%
M	33476	6.7%
F	33385	6.7%
m	33385	6.7%
O	33139	6.6%
t	33139	6.6%
h	33139	6.6%
r	33139	6.6%

Audience Location
Text

Distinct	243
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	6.5 MiB

Length

Max length	51
Median length	33
Mean length	10.67975
Min length	4

Characters and Unicode

Total characters	1067975
Distinct characters	59
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	United Kingdom
2nd row	Greece
3rd row	United States Virgin Islands
4th row	Zambia
5th row	Afghanistan

Value	Count	Frequency (%)
islands	6654	4.3%
and	4536	2.9%
republic	2879	1.9%
saint	2825	1.8%
united	2065	1.3%
south	1696	1.1%
island	1654	1.1%
the	1287	0.8%
arab	1264	0.8%
states	1254	0.8%
Other values (298)	128733	83.1%

Most occurring characters

Value	Count	Frequency (%)
a	146317	13.7%
n	86336	8.1%
i	84492	7.9%
e	75402	7.1%
r	61025	5.7%
	54847	5.1%
o	53473	5.0%
t	45105	4.2%
l	44827	4.2%
s	43108	4.0%
Other values (49)	373043	34.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1067975	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	146317	13.7%
n	86336	8.1%
i	84492	7.9%
e	75402	7.1%
r	61025	5.7%
	54847	5.1%
o	53473	5.0%
t	45105	4.2%
l	44827	4.2%
s	43108	4.0%
Other values (49)	373043	34.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1067975	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	146317	13.7%
n	86336	8.1%
i	84492	7.9%
e	75402	7.1%
r	61025	5.7%
	54847	5.1%
o	53473	5.0%
t	45105	4.2%
l	44827	4.2%
s	43108	4.0%
Other values (49)	373043	34.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1067975	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	146317	13.7%
n	86336	8.1%
i	84492	7.9%
e	75402	7.1%
r	61025	5.7%
	54847	5.1%
o	53473	5.0%
t	45105	4.2%
l	44827	4.2%
s	43108	4.0%
Other values (49)	373043	34.9%

Audience Interests
Text

Distinct	971
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	6.0 MiB

Length

Max length	14
Median length	12
Mean length	5.53709
Min length	1

Characters and Unicode

Total characters	553709
Distinct characters	35
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	respond
2nd row	population
3rd row	himself
4th row	safe
5th row	well

Value	Count	Frequency (%)
charge	142	0.1%
pull	136	0.1%
institution	135	0.1%
onto	132	0.1%
rule	131	0.1%
school	131	0.1%
seem	131	0.1%
case	130	0.1%
wife	130	0.1%
child	129	0.1%
Other values (961)	98673	98.7%

Most occurring characters

Value	Count	Frequency (%)
e	74072	13.4%
t	44659	8.1%
r	42864	7.7%
a	42441	7.7%
o	39241	7.1%
i	38804	7.0%
n	36287	6.6%
s	31285	5.7%
l	27684	5.0%
c	23884	4.3%
Other values (25)	152488	27.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	553709	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	74072	13.4%
t	44659	8.1%
r	42864	7.7%
a	42441	7.7%
o	39241	7.1%
i	38804	7.0%
n	36287	6.6%
s	31285	5.7%
l	27684	5.0%
c	23884	4.3%
Other values (25)	152488	27.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	553709	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	74072	13.4%
t	44659	8.1%
r	42864	7.7%
a	42441	7.7%
o	39241	7.1%
i	38804	7.0%
n	36287	6.6%
s	31285	5.7%
l	27684	5.0%
c	23884	4.3%
Other values (25)	152488	27.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	553709	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	74072	13.4%
t	44659	8.1%
r	42864	7.7%
a	42441	7.7%
o	39241	7.1%
i	38804	7.0%
n	36287	6.6%
s	31285	5.7%
l	27684	5.0%
c	23884	4.3%
Other values (25)	152488	27.5%

Campaign ID
Text

Missing

Distinct	20132
Distinct (%)	100.0%
Missing	79868
Missing (%)	79.9%
Memory size	4.2 MiB

Length

Max length	36
Median length	36
Mean length	36
Min length	36

Characters and Unicode

Total characters	724752
Distinct characters	17
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	20132 ?
Unique (%)	100.0%

Sample

1st row	6052b8d2-3403-4447-b0b4-c5ce20e6c8d0
2nd row	2b568bef-54b5-43e2-a5f7-c1ae802b0547
3rd row	98705a1e-2573-4cb8-983b-2112d4b140c9
4th row	6b15bf9b-14cc-4ab9-9168-56322057b61e
5th row	d69e6171-e44b-4588-b52e-2816900af9bc

Value	Count	Frequency (%)
6b15bf9b-14cc-4ab9-9168-56322057b61e	1	< 0.1%
73119af7-277a-4082-a46d-f6e8ab7fc92d	1	< 0.1%
72e9de4c-2791-48c5-91f2-fad7739869b7	1	< 0.1%
2c87c58d-be74-4464-abaa-2905d6352851	1	< 0.1%
1236f729-12dc-4ee0-aa1b-c11ca4336b62	1	< 0.1%
f990271e-9a73-467e-86eb-ffd28ba27772	1	< 0.1%
19e199c3-ddbf-4a1b-ac7f-479b4d41beb8	1	< 0.1%
15d1e055-d95b-4606-8681-3f223c018940	1	< 0.1%
884f4be9-1a8f-4501-9061-64b7d4d0f1d5	1	< 0.1%
7941b7a5-9607-4c04-b247-0d90adf14b76	1	< 0.1%
Other values (20122)	20122	> 99.9%

Most occurring characters

Value	Count	Frequency (%)
-	80528	11.1%
4	58029	8.0%
b	42883	5.9%
8	42805	5.9%
a	42571	5.9%
9	42361	5.8%
f	38017	5.2%
7	37927	5.2%
2	37878	5.2%
6	37871	5.2%
Other values (7)	263882	36.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	724752	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
-	80528	11.1%
4	58029	8.0%
b	42883	5.9%
8	42805	5.9%
a	42571	5.9%
9	42361	5.8%
f	38017	5.2%
7	37927	5.2%
2	37878	5.2%
6	37871	5.2%
Other values (7)	263882	36.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	724752	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
-	80528	11.1%
4	58029	8.0%
b	42883	5.9%
8	42805	5.9%
a	42571	5.9%
9	42361	5.8%
f	38017	5.2%
7	37927	5.2%
2	37878	5.2%
6	37871	5.2%
Other values (7)	263882	36.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	724752	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
-	80528	11.1%
4	58029	8.0%
b	42883	5.9%
8	42805	5.9%
a	42571	5.9%
9	42361	5.8%
f	38017	5.2%
7	37927	5.2%
2	37878	5.2%
6	37871	5.2%
Other values (7)	263882	36.4%

Sentiment
Categorical

Missing

Distinct	3
Distinct (%)	< 0.1%
Missing	50100
Missing (%)	50.1%
Memory size	5.8 MiB

Positive	16738
Neutral	16645
Negative	16517

Length

Max length	8
Median length	8
Mean length	7.6664329
Min length	7

Characters and Unicode

Total characters	382555
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Negative
2nd row	Neutral
3rd row	Neutral
4th row	Neutral
5th row	Neutral

Common Values

Value	Count	Frequency (%)
Positive	16738	16.7%
Neutral	16645	16.6%
Negative	16517	16.5%
(Missing)	50100	50.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
positive	16738	33.5%
neutral	16645	33.4%
negative	16517	33.1%

Most occurring characters

Value	Count	Frequency (%)
e	66417	17.4%
i	49993	13.1%
t	49900	13.0%
v	33255	8.7%
N	33162	8.7%
a	33162	8.7%
o	16738	4.4%
P	16738	4.4%
s	16738	4.4%
u	16645	4.4%
Other values (3)	49807	13.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	382555	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	66417	17.4%
i	49993	13.1%
t	49900	13.0%
v	33255	8.7%
N	33162	8.7%
a	33162	8.7%
o	16738	4.4%
P	16738	4.4%
s	16738	4.4%
u	16645	4.4%
Other values (3)	49807	13.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	382555	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	66417	17.4%
i	49993	13.1%
t	49900	13.0%
v	33255	8.7%
N	33162	8.7%
a	33162	8.7%
o	16738	4.4%
P	16738	4.4%
s	16738	4.4%
u	16645	4.4%
Other values (3)	49807	13.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	382555	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	66417	17.4%
i	49993	13.1%
t	49900	13.0%
v	33255	8.7%
N	33162	8.7%
a	33162	8.7%
o	16738	4.4%
P	16738	4.4%
s	16738	4.4%
u	16645	4.4%
Other values (3)	49807	13.0%

Influencer ID
Text

Missing

Distinct	9994
Distinct (%)	100.0%
Missing	90006
Missing (%)	90.0%
Memory size	3.6 MiB

Length

Max length	36
Median length	36
Mean length	36
Min length	36

Characters and Unicode

Total characters	359784
Distinct characters	17
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	9994 ?
Unique (%)	100.0%

Sample

1st row	aca49940-8445-483f-9ab8-0db0167bb2db
2nd row	50fa2d5d-a67a-486e-b162-8c5f355abe7e
3rd row	020d4653-f752-4176-a694-21b10355604e
4th row	9d0f660f-c482-417a-ade5-c0abbf1ea859
5th row	09fd85ec-fe5b-456a-9f30-807638b5fb4d

Value	Count	Frequency (%)
56f0c814-0a28-444e-b93a-85f35a3e6a50	1	< 0.1%
9f33b585-cff9-47c2-8756-37132b964183	1	< 0.1%
a25e22a3-07ca-4d00-9fe5-ce49cd491a10	1	< 0.1%
2c341cdf-0db2-4dc3-a74b-8a17b60cae9b	1	< 0.1%
0286c8c2-4b54-4db1-bf5c-ced9a70810eb	1	< 0.1%
83b23620-f366-477f-99ef-6a50325341e6	1	< 0.1%
cae937f2-8542-4fe5-9e97-e6592c2e343e	1	< 0.1%
336672d2-60c2-424f-aaf7-ec84efb173f7	1	< 0.1%
8593cd4c-f983-430b-b611-7f9f7e88f0f5	1	< 0.1%
67325eaf-81fb-405b-8786-1918430b054d	1	< 0.1%
Other values (9984)	9984	99.9%

Most occurring characters

Value	Count	Frequency (%)
-	39976	11.1%
4	28612	8.0%
8	21237	5.9%
9	21236	5.9%
a	21158	5.9%
b	21012	5.8%
2	19023	5.3%
6	19018	5.3%
0	18975	5.3%
5	18903	5.3%
Other values (7)	130634	36.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	359784	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
-	39976	11.1%
4	28612	8.0%
8	21237	5.9%
9	21236	5.9%
a	21158	5.9%
b	21012	5.8%
2	19023	5.3%
6	19018	5.3%
0	18975	5.3%
5	18903	5.3%
Other values (7)	130634	36.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	359784	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
-	39976	11.1%
4	28612	8.0%
8	21237	5.9%
9	21236	5.9%
a	21158	5.9%
b	21012	5.8%
2	19023	5.3%
6	19018	5.3%
0	18975	5.3%
5	18903	5.3%
Other values (7)	130634	36.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	359784	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
-	39976	11.1%
4	28612	8.0%
8	21237	5.9%
9	21236	5.9%
a	21158	5.9%
b	21012	5.8%
2	19023	5.3%
6	19018	5.3%
0	18975	5.3%
5	18903	5.3%
Other values (7)	130634	36.3%

	Audience Age	Audience Gender	Comments	Engagement Rate	Impressions	Likes	Platform	Post Type	Reach	Sentiment	Shares
Audience Age	1.000	0.003	0.006	0.003	0.001	0.004	0.000	0.004	0.004	0.000	0.003
Audience Gender	0.003	1.000	0.000	0.000	0.005	0.000	0.000	0.000	0.000	0.000	0.003
Comments	0.006	0.000	1.000	0.263	-0.001	-0.001	0.000	0.000	-0.002	0.010	0.001
Engagement Rate	0.003	0.000	0.263	1.000	0.002	0.521	0.000	0.000	-0.765	0.000	0.107
Impressions	0.001	0.005	-0.001	0.002	1.000	-0.001	0.000	0.000	-0.002	0.000	0.001
Likes	0.004	0.000	-0.001	0.521	-0.001	1.000	0.001	0.004	0.002	0.006	0.002
Platform	0.000	0.000	0.000	0.000	0.000	0.001	1.000	0.003	0.002	0.007	0.005
Post Type	0.004	0.000	0.000	0.000	0.000	0.004	0.003	1.000	0.000	0.000	0.002
Reach	0.004	0.000	-0.002	-0.765	-0.002	0.002	0.002	0.000	1.000	0.005	-0.002
Sentiment	0.000	0.000	0.010	0.000	0.000	0.006	0.007	0.000	0.005	1.000	0.001
Shares	0.003	0.003	0.001	0.107	0.001	0.002	0.005	0.002	-0.002	0.001	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

	Platform	Post ID	Post Type	Post Content	Post Timestamp	Likes	Comments	Shares	Impressions	Reach	Engagement Rate	Audience Age	Audience Gender	Audience Location	Audience Interests	Campaign ID	Sentiment	Influencer ID
0	LinkedIn	d49dadb4-fc1e-4775-88ad-d60b75cf5123	Video	Want that according same wish.	2021-04-23 08:19:49.255108	415	77	85	2619	1842	31.32	29	Other	United Kingdom	respond	NaN	Negative	NaN
1	Instagram	16ce29c5-2dc7-478f-9814-a86754f3ce8b	Video	Increase fast partner south.	2023-07-30 06:40:06.356134	908	125	85	1223	3884	28.78	48	Male	Greece	population	NaN	Neutral	NaN
2	Instagram	6a6cc741-72f4-4111-95a0-c5ee04a175a8	Video	Lawyer behavior born window couple sister.	2021-12-05 03:56:53.211700	412	419	58	2165	849	104.71	55	Male	United States Virgin Islands	himself	NaN	Neutral	NaN
3	Twitter	0b5a3e70-c556-43cb-ad4f-a1d0003348bc	Image	Street great decade must.	2021-09-28 20:39:00.227679	667	153	29	7191	3519	24.13	54	Other	Zambia	safe	NaN	NaN	NaN
4	Facebook	a7d3e958-e2fe-411e-a24a-b96e821fc050	Link	At clear meeting with reason ground continue contain.	2023-02-27 17:51:21.425074	659	215	34	3312	2032	44.69	33	Other	Afghanistan	well	6052b8d2-3403-4447-b0b4-c5ce20e6c8d0	NaN	NaN
5	Facebook	0922ea18-ea90-4302-b126-bd95f85a0926	Video	Vote American state change simply cup.	2021-11-23 08:32:30.081195	510	438	110	3871	2667	39.67	59	Female	Djibouti	she	2b568bef-54b5-43e2-a5f7-c1ae802b0547	Neutral	NaN
6	Instagram	0510219c-c413-4203-a9c6-e176a299ce10	Link	Community seek Republican cold though ability understand event.	2022-09-28 06:32:05.116755	874	239	91	5681	1553	77.53	41	Other	Jamaica	family	NaN	Neutral	NaN
7	LinkedIn	c394636e-4e5c-4453-b096-597e530bd4eb	Link	Win guess me report true.	2023-07-27 06:32:01.557935	627	135	90	9436	1498	56.88	63	Other	Gibraltar	keep	NaN	Neutral	NaN
8	LinkedIn	75142995-8ed2-419d-9632-72a0b631175b	Link	Action other would side.	2023-01-04 16:22:21.076416	1000	378	94	8539	3695	39.84	23	Male	Estonia	number	NaN	NaN	NaN
9	Twitter	aeaed62e-bfa7-4f81-aea7-3ce2413ac473	Video	Usually personal small create.	2021-07-18 07:55:37.140118	573	135	8	6769	2508	28.55	46	Other	Guatemala	main	NaN	Positive	NaN

	Platform	Post ID	Post Type	Post Content	Post Timestamp	Likes	Comments	Shares	Impressions	Reach	Engagement Rate	Audience Age	Audience Gender	Audience Location	Audience Interests	Campaign ID	Sentiment	Influencer ID
99990	LinkedIn	d633444f-9f4a-41e9-89b6-a0207c23da1b	Link	Could little close while quite experience heart.	2021-12-09 20:55:28.874426	422	211	86	5419	4667	15.41	53	Male	Venezuela	manage	7941b7a5-9607-4c04-b247-0d90adf14b76	Negative	NaN
99991	LinkedIn	2862509e-a3f1-4845-8735-a1b939d224cf	Link	Decision stand upon election but color task.	2022-01-08 13:39:18.849576	624	258	27	6559	3566	25.49	31	Female	Canada	force	NaN	NaN	NaN
99992	LinkedIn	3f4d6bd5-c29a-4a8a-a0ef-7f34b9851acb	Image	Recently lose candidate eat already.	2023-04-05 00:15:59.290589	379	237	179	4315	1606	49.50	56	Male	Seychelles	gas	NaN	Positive	NaN
99993	Instagram	ffbccca5-680a-4a10-a08f-0369c563399d	Image	Three few major chance leader.	2022-01-29 04:20:02.860819	55	294	170	7076	4912	10.57	58	Male	Tanzania	character	NaN	Neutral	bc53de83-321d-4569-8c85-fe7190c9bd32
99994	Facebook	bfc611aa-71e3-462d-a200-c671b5f2dd45	Video	Stage can finish high attack practice.	2024-02-25 16:53:25.804442	849	34	32	3784	603	151.74	61	Other	Canada	evening	NaN	NaN	8593cd4c-f983-430b-b611-7f9f7e88f0f5
99995	LinkedIn	26534a4f-0cb6-4bb3-b852-d1cadc15584e	Link	Trial serious region bit.	2021-12-14 08:14:35.616751	555	491	15	4685	2377	44.64	62	Male	Brunei Darussalam	day	NaN	Positive	NaN
99996	Facebook	df9577d4-9338-4f41-99f9-8e8f1e34febd	Link	Pretty general by scene risk.	2022-06-24 00:28:30.817791	341	76	76	4448	2605	18.93	35	Male	Honduras	over	NaN	NaN	NaN
99997	LinkedIn	43cd806e-704b-4718-9924-2555c189f8b2	Link	Develop school account wish rate.	2023-12-21 23:58:07.906688	442	155	75	8746	4616	14.56	38	Male	Vanuatu	floor	9ffda691-fc52-47dc-93bf-041eb2eb3974	Neutral	NaN
99998	Instagram	3485970a-0f34-4304-a60a-f4e3de8e1917	Link	Just might language idea answer data idea.	2024-03-01 21:03:06.667623	313	417	140	5487	608	143.09	39	Female	Saint Barthelemy	key	NaN	NaN	NaN
99999	Twitter	6b1406b0-adca-43e5-abde-799746a9b50a	Link	Cold money inside deep.	2022-04-01 23:34:15.201011	27	138	148	2179	2230	14.04	22	Female	United States Virgin Islands	range	3302de60-24c2-4995-9c24-6dcaee99071a	NaN	NaN

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block